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Machine Learning & Data Science · head to head

DataRobot vs KNIME

DataRobot logo

DataRobot

Machine Learning & Data Science

Enterprise AI platform for automated machine learning

From
On request
Rated
-
Full reviewWebsite
KNIME logo

KNIME

Machine Learning & Data Science

Open source data analytics and integration platform

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only KNIME has a free tier, so it costs nothing to try first.
  • Each has a real cost: DataRobot model transparency is limited, often resembling a black box with limited explainability; KNIME the free Analytics Platform runs locally only, so anything shared or scheduled requires a paid Hub
  • They diverge on capability: DataRobot covers Automated ML, KNIME covers Visual workflows.

Where they differ

Only the attributes on which DataRobot and KNIME actually diverge.

Attributes where DataRobot and KNIME differ
AttributeDataRobotKNIME
Starting priceOn requestFree
Pricing modelsubscriptionfreemium
Free tierNoYes
PlatformsWebLinux, Mac, Windows
Founded20122004

Identical on both: user rating (Not yet rated), category (Machine Learning & Data Science).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in DataRobot

  • Automated ML
  • Model deployment
  • Time series
  • MLOps
  • Model monitoring
  • Snowflake
  • Databricks
  • AWS

Only in KNIME

  • Visual workflows
  • Data preprocessing
  • Machine learning
  • Visualization
  • Reporting
  • Python
  • R
  • Spark

What people use each for

The jobs each tool is most often brought in to do.

DataRobot

  • Machine learningnot KNIME
  • Data analysisnot KNIME
  • Model trainingnot KNIME
  • Predictive analyticsnot KNIME

KNIME

  • Building data pipelines and analytics workflows visually rather than in codenot DataRobot
  • Connecting and blending data across many sources for analysisnot DataRobot

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

DataRobot

  • Model transparency is limited, often resembling a black box with limited explainability
  • Requires integration with separate data manipulation tools for complex data transformation
  • Lacks native Python and R code customization for proprietary algorithms
  • Dependence on cloud connectivity means offline capabilities are not available
  • Uploading sensitive data to third-party servers raises data privacy and security concerns

KNIME

  • The free Analytics Platform runs locally only, so anything shared or scheduled requires a paid Hub
  • The free AI assistant is limited to 20 interactions a month
  • Paid workflow runtime is metered in credits, with 120 included on Pro and overage at $0.025 per vCore minute
  • The Team plan at $99 a month includes 3 members, with additional seats at $49 a month each
  • Business Hub pricing is on request, and its tiers are capped at 4, 8 and 16 vCores with 5, 5 and 20 users

Pricing, plan by plan

DataRobot

On request
  • TrialFree
    • Limited access
    • Basic features
  • EnterpriseFree
    • Full platform
    • AutoML
    • MLOps

KNIME

Free
  • Analytics PlatformFree
    • Visual workflows
    • All nodes
    • Community extensions
  • ServerFree
    • Team collaboration
    • Workflow automation
    • REST API

Which should you pick?

Choose DataRobot if

  • You need automated ml.
  • You also want model deployment.
DataRobot review

Choose KNIME if

  • You need visual workflows.
  • You want to start without paying.
  • You work on Linux, Mac, Windows.
  • You also want data preprocessing.
KNIME review

Questions people ask

Is DataRobot or KNIME better?
Neither clearly leads. DataRobot starts at On request and KNIME at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DataRobot or KNIME?
KNIME has a free tier; the other does not. Paid plans start at On request for DataRobot and Free for KNIME.
Does DataRobot or KNIME run on more platforms?
DataRobot runs on Web. KNIME runs on Linux, Mac, Windows.
Can I use KNIME for free?
Yes. KNIME has a free tier, so you can try it without paying. DataRobot starts at On request.
What is DataRobot best used for?
DataRobot is most often used for machine learning, data analysis, model training, predictive analytics. Of those, machine learning and data analysis are not what KNIME is typically brought in for.
What can DataRobot do that KNIME cannot?
DataRobot covers Automated ML, Model deployment, Time series, MLOps. KNIME covers Visual workflows, Data preprocessing, Machine learning, Visualization.

Answered from the vendors’ own pages

DataRobot: Does DataRobot require data science expertise?

DataRobot automates much of the ML pipeline including data preparation, feature engineering, and model selection, making it more accessible to non-experts, though it is still an enterprise platform.

Source
DataRobot: What does DataRobot cost?

DataRobot uses custom enterprise pricing with typical starting costs around $2,500 per month for smaller organizations. For 10 users, monthly costs range from $15,000 to $20,000. Implementation and professional services are 20-40% of first-year contract value.

Source
DataRobot: Does DataRobot support generative AI?

Yes, DataRobot offers generative AI capabilities with API-first integrations for LLMs, vector databases, and embedding models.

Source
DataRobot: Can DataRobot handle unstructured data?

Yes, DataRobot supports machine learning on both structured and unstructured data, including deep learning, NLP, and image analysis.

Source
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